Explores intermodulation effects in two-tone input signals, demonstrating nonlinearity impact on signal quality and discussing different types of LNAs.
Explores homodyne receivers, covering DC offset, channel selection, and offset cancellation, along with challenges like even-order distortion and LO leakage.
Introduces the state-space approach to modeling dynamical systems and its utility for high-speed solution of differential equations and computer algorithms.
Covers vectorization in Python using Numpy for efficient scientific computing, emphasizing the benefits of avoiding for loops and demonstrating practical applications.
Explores the stability of Ordinary Differential Equations, focusing on solution dependence, critical data, linearization, and control of nonlinear systems.
Covers Principal Component Analysis for dimensionality reduction, exploring its applications, limitations, and importance of choosing the right components.
